How high is the risk of infection on public transport - and how can it be reliably quantified?

In our current publication, we present a model that systematically calculates the risk of infection in public transport by linking both the probability of contact and the probability of infection.

The model makes it possible to determine the current risk of infection for passengers, analyze scenarios and objectively compare measures (e.g. masks). The study thus provides a sound basis for evidence-based decisions in public transport.

To the publication: https://www.sciencedirect.com/science/article/pii/S2214140526000332

The publication was produced as part of our "EMILIA" research project, in which recommendations for pandemic-resistant public transport were developed. In addition to the publication, interested parties can find our complete and compact guide to action, our interactive infection calculator and our tool for visualizing the panel results here: https://www.uni-kassel.de/fb14bau/institute/institut-fuer-verkehrswesen-ifv/verkehrsplanung-und-verkehrssysteme/forschung/forschungsprojekte/emilia